feat: Add semantic releases and IAM support

.env.example

@@ -1,2 +1,2 @@
 # Environment variables
-VISUAL_RECOGNITION_API_KEY=
+VISUAL_RECOGNITION_IAM_APIKEY=

.travis.yml

@@ -1,18 +1,17 @@
 language: node_js
 dist: trusty
 sudo: required
-node_js: 6
+node_js: 8
 script: npm test
 cache:
   directories:
   - node_modules
 env:
   global:
-  - BX_APP=visual-recognition-demo
-  - BX_API=https://api.ng.bluemix.net
-  - BX_ORGANIZATION=WatsonPlatformServices
-  - BX_SPACE=demos
   - VISUAL_RECOGNITION_API_KEY="bogus key to let server spin up for offline tests"
-before_install:
-- openssl aes-256-cbc -K $encrypted_cca766a893ae_key -iv $encrypted_cca766a893ae_iv
-  -in .env.enc -out .env -d
+deploy:
+- provider: script
+  skip_cleanup: true
+  script: npx semantic-release
+  on:
+    node: 8

CONTRIBUTING.md

@@ -1,16 +1,64 @@
 # Questions
 
-If you are having difficulties running the app or have a question about the service, please ask a question on [dW Answers](https://developer.ibm.com/answers/questions/ask/?topics=watson) or [Stack Overflow](http://stackoverflow.com/questions/ask?tags=ibm-watson).
+If you are having problems using the APIs or have a question about the IBM
+Watson Services, please ask a question on
+[dW Answers](https://developer.ibm.com/answers/questions/ask/?topics=watson)
+or [Stack Overflow](http://stackoverflow.com/questions/ask?tags=ibm-watson).
+
+# Code
+
+* Our style guide is based on [Google's](https://google.github.io/styleguide/jsguide.html), most of it is automaticaly enforced (and can be automatically applied with `npm run autofix`)
+* Commits should follow the [Angular commit message guidelines](https://github.com/angular/angular/blob/master/CONTRIBUTING.md#-commit-message-guidelines). This is because our release tool uses this format for determining release versions and generating changelogs. To make this easier, we recommend using the [Commitizen CLI](https://github.com/commitizen/cz-cli) with the `cz-conventional-changelog` adapter.
 
 # Issues
 
-If you encounter an issue with this sample app, you are welcome to submit a [bug report](https://github.com/watson-developer-cloud/visual-recognition-nodejs/issues). Before that, please search for similar issues. It's possible somebody has encountered this issue already.
+If you encounter an issue with the Node.js library, you are welcome to submit
+a [bug report](https://github.com/watson-developer-cloud/visual-recognition-nodejs/issues).
+Before that, please search for similar issues. It's possible somebody has
+already encountered this issue.
 
 # Pull Requests
 
-If you want to contribute to the repository, here's a quick guide:
+If you want to contribute to the repository, follow these steps:
 
 1. Fork the repo.
-1. develop your code changes: `npm install -d`
-1. Commit your changes
-1. Push to your fork and submit a pull request
+2. Develop and test your code changes: `npm install -d && npm test`.
+3. Travis-CI will run the tests for all services once your changes are merged.
+4. Add a test for your changes. Only refactoring and documentation changes require no new tests.
+5. Make the test pass.
+6. Commit your changes.
+7. Push to your fork and submit a pull request.
+
+# Developer's Certificate of Origin 1.1
+
+By making a contribution to this project, I certify that:
+
+(a) The contribution was created in whole or in part by me and I
+   have the right to submit it under the open source license
+   indicated in the file; or
+
+(b) The contribution is based upon previous work that, to the best
+   of my knowledge, is covered under an appropriate open source
+   license and I have the right under that license to submit that
+   work with modifications, whether created in whole or in part
+   by me, under the same open source license (unless I am
+   permitted to submit under a different license), as indicated
+   in the file; or
+
+(c) The contribution was provided directly to me by some other
+   person who certified (a), (b) or (c) and I have not modified
+   it.
+
+(d) I understand and agree that this project and the contribution
+   are public and that a record of the contribution (including all
+   personal information I submit with it, including my sign-off) is
+   maintained indefinitely and may be redistributed consistent with
+   this project or the open source license(s) involved.
+
+## Tests
+
+Ideally, we'd like to see both unit and innervation tests on each method.
+(Unit tests do not actually connect to the Watson service, integration tests do.)
+
+Out of the box, `npm test` runs linting and unit tests, but skips the integration tests,
+because they require credentials.

INSTRUCTIONS.md

@@ -6,11 +6,18 @@ You can see a version of this app that is already running [here](https://visual-
 
 So let’s get started. The first thing to do is to build out the shell of our application in the IBM Cloud.
 
-## Creating an [IBM Cloud][bluemix] Account
+## Prerequisites
+
+1. Sign up for an [IBM Cloud account](https://console.bluemix.net/registration/).
+1. Download the [IBM Cloud CLI](https://console.bluemix.net/docs/cli/index.html#overview).
+1. Create an instance of the Visual Recognition service and get your credentials:
+    - Go to the [Visual Recognition](https://console.bluemix.net/catalog/services/visual-recognition) page in the IBM Cloud Catalog.
+    - Log in to your IBM Cloud account.
+    - Click **Create**.
+    - Click **Show** to view the service credentials.
+    - Copy the `apikey` value
+    - Copy the `url` value.
 
-1. Go to https://bluemix.net/
-2. Create an IBM Cloud account if required.
-3. Log in with your IBM ID (the ID used to create your IBM Cloud account)
 
 **Note:** The confirmation email from the IBM Cloud mail take up to 1 hour.
 
@@ -37,25 +44,11 @@ So let’s get started. The first thing to do is to build out the shell of our a
       NODE_ENV: production
     ```
 
-1. Connect to the IBM Cloud by running the following commands in a terminal window:
-
-  ```none
-  cf api https://api.ng.bluemix.net
-  cf login
-  ```
-
-1. Create and retrieve service keys to access the [Visual Recognition][visual_recognition] service by running the following command:
+1. Copy the credentials from the prerequisites to the application by creating a `.env` file using this format:
 
   ```none
-  cf create-service watson_vision_combined free visual-recognition-service
-  cf create-service-key visual-recognition-service myKey
-  cf service-key visual-recognition-service myKey
-  ```
-
-1. Provide the credentials from step 6 to the application by creating a `.env` file using this format:
-
-  ```none
-  VISUAL_RECOGNITION_API_KEY=<your-alchemy-api-key>
+  VISUAL_RECOGNITION_IAM_API_KEY=<your-api-key>
+  VISUAL_RECOGNITION_URL=<your-url>
   ```
 
 1. Install the dependencies you application need:
@@ -72,19 +65,30 @@ So let’s get started. The first thing to do is to build out the shell of our a
 
 1. Test your application locally by going to: [http://localhost:3000/](http://localhost:3000/)
 
-## Deploying your application to the IBM Cloud
+## Deploying to IBM Cloud as a Cloud Foundry Application
 
-1. Push the updated application live by running the following command:
+1. Login to IBM Cloud with the [IBM Cloud CLI](https://console.bluemix.net/docs/cli/index.html#overview)
 
-  ```none
-  cf push
-  ```
+    ```
+    ibmcloud login
+    ```
 
-After completing the steps above, you are ready to test your application. Start a browser and enter the URL of your application.
+1. Target a Cloud Foundry organization and space.
 
-                  <your-application-name>.mybluemix.net
+    ```
+    ibmcloud target --cf
+    ```
+
+1. Edit the *manifest.yml* file. Change the **name** field to something unique.  
+  For example, `- name: my-app-name`.
+1. Deploy the application
+
+    ```
+    ibmcloud app push
+    ```
 
-You can also find your application name when you click on your application in the IBM Cloud.
+1. View the application online at the app URL.  
+For example: https://my-app-name.mybluemix.net
 
 ## Classifying Images in the Starter Application
 

README.md

@@ -6,8 +6,6 @@ The [Visual Recognition][visual_recognition_service] Service uses deep learning
 
 Give it a try! Click the button below to fork into IBM DevOps Services and deploy your own copy of this application on the IBM Cloud.
 
-[![Deploy to IBM Cloud](https://bluemix.net/deploy/button.png)](https://bluemix.net/deploy?repository=https://github.com/watson-developer-cloud/visual-recognition-nodejs)
-
 ## Getting Started
 
 1. You need a IBM Cloud account. If you don't have one, [sign up][sign_up]. Experimental Watson Services are free to use.
@@ -145,7 +143,6 @@ training form with your existing classifier.
   Find more open source projects on the [IBM Github Page](http://ibm.github.io/).
 
 
-[deploy_track_url]: https://github.com/cloudant-labs/deployment-tracker
 [service_url]: https://www.ibm.com/watson/services/visual-recognition/
 [cloud_foundry]: https://github.com/cloudfoundry/cli
 [visual_recognition_service]: https://www.ibm.com/watson/services/visual-recognition/

app.js

@@ -22,23 +22,19 @@ var fs = require('fs');
 var extend = require('extend');
 var path = require('path');
 var async = require('async');
-var watson = require('watson-developer-cloud');
+var VisualRecognitionV3 = require('watson-developer-cloud/visual-recognition/v3'); // watson sdk
 var uuid = require('uuid');
 var bundleUtils = require('./config/bundle-utils');
 var os = require('os');
 
 var ONE_HOUR = 3600000;
-var TWENTY_SECONDS = 20000;
+var FOURTY_SECONDS = 40000;
 
 // Bootstrap application settings
 require('./config/express')(app);
 
-// Create the service wrapper
-// If no API Key is provided here, the [email protected] library will check for an VISUAL_RECOGNITION_API_KEY
-// environment property and then fall back to the VCAP_SERVICES property provided by the IBM Cloud.
-var visualRecognition = new watson.VisualRecognitionV3({
-  // api_key: '<api-key>',
-  version_date: '2015-05-19'
+var visualRecognition = new VisualRecognitionV3({
+  version: '2018-03-19'
 });
 
 app.get('/', function(req, res) {
@@ -233,8 +229,7 @@ function parseBase64Image(imageString) {
 app.post('/api/classify', app.upload.single('images_file'), function(req, res) {
   var params = {
     url: null,
-    images_file: null,
-    owners: []
+    images_file: null
   };
 
   if (req.file) { // file image
@@ -267,14 +262,13 @@ app.post('/api/classify', app.upload.single('images_file'), function(req, res) {
     params.threshold = 0.5; //So the classifers only show images with a confindence level of 0.5 or higher
     methods.push('classify');
     methods.push('detectFaces');
-    methods.push('recognizeText');
   }
 
   // run the 3 classifiers asynchronously and combine the results
   async.parallel(methods.map(function(method) {
     var fn = visualRecognition[method].bind(visualRecognition, params);
-    if (method === 'recognizeText' || method === 'detectFaces') {
-      return async.reflect(async.timeout(fn, TWENTY_SECONDS));
+    if (method === 'detectFaces') {
+      return async.reflect(async.timeout(fn, FOURTY_SECONDS));
     } else {
       return async.reflect(fn);
     }

casper-runner.js

@@ -1,7 +1,10 @@
 'use strict';
 
-if (!process.env.VISUAL_RECOGNITION_API_KEY) {
-  console.log('Skipping integration tests because VISUAL_RECOGNITION_API_KEY is null');
+require('dotenv').config({silent: true});
+
+
+if (!process.env.VISUAL_RECOGNITION_IAM_APIKEY) {
+  console.log('Skipping integration tests because VISUAL_RECOGNITION_IAM_APIKEY is null');
   process.exit(0);
 }
 

config/express.js

@@ -31,7 +31,6 @@ module.exports = function(app) {
   // Configure Express
   app.set('view engine', 'jade');
 
-  app.use(require('express-status-monitor')());
   app.use(compression({filter: function (req, res) {
 
     // This is kind of dumb, but I've had a few people reporting errors like

config/security.js

@@ -31,11 +31,11 @@ module.exports = function(app) {
   }));
 
   // 2. rate-limit to /api/
-  // app.use('/api/', rateLimit({
-  //   windowMs: 30 * 1000, // seconds
-  //   delayMs: 0,
-  //   max: 10
-  // }));
+  app.use('/api/', rateLimit({
+    windowMs: 30 * 1000, // seconds
+    delayMs: 0,
+    max: 10
+  }));
 
   // 3. csrf
   var csrfProtection = csrf({